Serum B12 Levels in Type II Diabetics on Metformin Therapy and its association with Clinical Neuropathy
Bibliographic record
Abstract
Background: Metformin use in type II DM has also been known to cause B12 deficiency in as reported many studies. Iatrogenic neuropathy caused by Metformin induced B12 deficiency can add to burden of peripheral neuropathy that already exists in diabetic patients. Aims and Objectives: 1)To determine the serum vitamin B12 levels in patients of type II DM on metformin therapy and compare it with those not on metformin therapy; 2) To correlate serum vitamin B12 levels with dose and duration of metformin therapy; 3) To investigate association between peripheral neuropathy and serum vitamin B12 levels. Method: The present two year hospital based cross sectional study enrolled total 132 cases of type 2 diabetes mellitus and divided into two groups, (metformin group 70 and non-metformin group 62). Serum vitamin B12 levels were measured in all patients. Toronto clinical scoring system (TCSS) and nerve conduction velocity (NCV) tests were used to assess peripheral neuropathy. The correlations of vitamin B12 levels with Toronto clinical score, nerve conduction studies, cumulative dose and duration of metformin therapy was done. Results: The serum vitamin B12 levels were significantly lower in patients who consumed metformin (292.64 152.82 pg/ml) as compared to non-metformin, (406.91 126.59 pg/ml) group. There was a significant negative correlation of serum vitamin B12 levels with cumulative dose and duration of metformin therapy. The incidence of neuropathy by TCSS and NCV test was significantly higher in metformin group with a positive correlation with cumulative dose and duration of metformin and a negative correlation with serum vitamin B12 levels. Conclusion: Metformin use is significantly associated with decrease in vitamin B12 levels and increased incidence of neuropathy, this is dependent on dose and duration of metformin therapy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".